The study of the relationship between mammographic features and histological findings of BIGRADS 3 ,4
10.3969/j.issn.1002G1671.2019.06.013
- VernacularTitle:乳腺X线BIGRADS分类3、4类病变与病理对照研究
- Author:
Xiaofang GUO
1
;
Qian YANG
;
Jie WAN
;
Hanmin YIN
;
Yulin LIU
Author Information
1. 湖北省肿瘤医院放射科
- Keywords:
BIGRADS 3~4;
mammography;
pathological
- From:
Journal of Practical Radiology
2019;35(6):904-908
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the correlation between mammographic features in BIGRADS 3,4 and the corresponding histological findings.Methods 442 patients with 46 9 lesions categorized as 3 ,4 in BIGRADS on mammography from July 20 1 3 to February 20 1 5 were retrospectively analyzed.The correlation between mammographic features and histological findings was statistically analyzed.Results Among the 469 lesions,130 lesions were categorized as BIGRADS 3,with 13 pathologically confirmed malignant lesions and 117 benign lesions.There were 3 3 9 lesions in BIGRADS 4,with 9 8 malignant lesions and 241 benign lesions.There were statistical differences between benign and malignant lesions (P＜0.05)in mass morphology,mass margin,calcification morphology,calcification distribution,architectural distortion,asymmetries and axillary adenopthy.There were no statistically significant differences (P＞0.05 )in breast composition, mass density or location.The logistic regression analysis with above mentioned significance indexs showed that the F value was 4.3 1 1 , with the significance probability (P＜0.001 ).The mass shape,the edge of the mass,the calcification shape,the calcification distribution,the structure distortion,the asymmetrical compact shadow,and the axillary lymph node enlargement were all correlated with the benign and malignant of the tumors.Conclusion The mammographic features of BIGRADS category 3 and 4 including the mass morphology, margin,calcification morphology,calcification distrubution,architectural distortion,asymmetries,and axillary adenopthy could help us to improve the accuracy diagnoses between benign and malignant lesions.
